Cargando…

Prognostic biomarker SYK and its correlation with immune infiltrates in glioma

The tumor microenvironment (TME) provides excellent conditions for the development of glioma. The present study sought to identify the prognostic factors of glioma that could be used to improve the prognosis of patients with this disease. In the present study, Cell-type Identification by Estimating...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Changxin, Liu, Pei, Sun, Yu, Liu, Ting, Xu, Xiaoxiao, Guo, Jiamin, Gong, Zheng, Sun, Haixin, Xu, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557046/
https://www.ncbi.nlm.nih.gov/pubmed/37810632
http://dx.doi.org/10.3892/etm.2023.12198
_version_ 1785117001719480320
author Wang, Changxin
Liu, Pei
Sun, Yu
Liu, Ting
Xu, Xiaoxiao
Guo, Jiamin
Gong, Zheng
Sun, Haixin
Xu, Rui
author_facet Wang, Changxin
Liu, Pei
Sun, Yu
Liu, Ting
Xu, Xiaoxiao
Guo, Jiamin
Gong, Zheng
Sun, Haixin
Xu, Rui
author_sort Wang, Changxin
collection PubMed
description The tumor microenvironment (TME) provides excellent conditions for the development of glioma. The present study sought to identify the prognostic factors of glioma that could be used to improve the prognosis of patients with this disease. In the present study, Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) and Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data calculations were employed to estimate the ratio of tumor-infiltrating immune cells and the quantity of immune and stromal components in 698 glioma cases from the Cancer Genome Atlas database. In addition, certain differentially expressed genes were studied by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses and single genes associated with prognosis were identified by protein-protein interaction (PPI) network and Cox combined analysis. The immune and stromal scores of the TME were significantly associated with glioma patient survival. By using the PPI network and Cox regression analyses, spleen tyrosine kinase (SYK) was eventually identified as the best prognostic factor for patients with glioma. In addition, Gene Set Enrichment Analysis and CIBERSORT analyses were employed. The former indicated that the high-expression SYK group genes were mainly enriched in immune-related activities. The latter revealed that SYK expression was positively associated with T cell cluster of differentiation 4 memory resting and monocytes. The aforementioned experimental analyses provided the theoretical basis for the biological prediction of SYK. The data indicated that SYK contributed to immune predictors in patients with glioma by facilitating the shift of the TME from immune dominance to metabolic activity. Finally, reverse transcription-quantitative PCR and western blotting were used to verify the single gene expression in glioma cells. This may provide prognostic value for the treatment of glioma.
format Online
Article
Text
id pubmed-10557046
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-105570462023-10-07 Prognostic biomarker SYK and its correlation with immune infiltrates in glioma Wang, Changxin Liu, Pei Sun, Yu Liu, Ting Xu, Xiaoxiao Guo, Jiamin Gong, Zheng Sun, Haixin Xu, Rui Exp Ther Med Articles The tumor microenvironment (TME) provides excellent conditions for the development of glioma. The present study sought to identify the prognostic factors of glioma that could be used to improve the prognosis of patients with this disease. In the present study, Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) and Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data calculations were employed to estimate the ratio of tumor-infiltrating immune cells and the quantity of immune and stromal components in 698 glioma cases from the Cancer Genome Atlas database. In addition, certain differentially expressed genes were studied by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses and single genes associated with prognosis were identified by protein-protein interaction (PPI) network and Cox combined analysis. The immune and stromal scores of the TME were significantly associated with glioma patient survival. By using the PPI network and Cox regression analyses, spleen tyrosine kinase (SYK) was eventually identified as the best prognostic factor for patients with glioma. In addition, Gene Set Enrichment Analysis and CIBERSORT analyses were employed. The former indicated that the high-expression SYK group genes were mainly enriched in immune-related activities. The latter revealed that SYK expression was positively associated with T cell cluster of differentiation 4 memory resting and monocytes. The aforementioned experimental analyses provided the theoretical basis for the biological prediction of SYK. The data indicated that SYK contributed to immune predictors in patients with glioma by facilitating the shift of the TME from immune dominance to metabolic activity. Finally, reverse transcription-quantitative PCR and western blotting were used to verify the single gene expression in glioma cells. This may provide prognostic value for the treatment of glioma. D.A. Spandidos 2023-09-07 /pmc/articles/PMC10557046/ /pubmed/37810632 http://dx.doi.org/10.3892/etm.2023.12198 Text en Copyright: © Wang et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wang, Changxin
Liu, Pei
Sun, Yu
Liu, Ting
Xu, Xiaoxiao
Guo, Jiamin
Gong, Zheng
Sun, Haixin
Xu, Rui
Prognostic biomarker SYK and its correlation with immune infiltrates in glioma
title Prognostic biomarker SYK and its correlation with immune infiltrates in glioma
title_full Prognostic biomarker SYK and its correlation with immune infiltrates in glioma
title_fullStr Prognostic biomarker SYK and its correlation with immune infiltrates in glioma
title_full_unstemmed Prognostic biomarker SYK and its correlation with immune infiltrates in glioma
title_short Prognostic biomarker SYK and its correlation with immune infiltrates in glioma
title_sort prognostic biomarker syk and its correlation with immune infiltrates in glioma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557046/
https://www.ncbi.nlm.nih.gov/pubmed/37810632
http://dx.doi.org/10.3892/etm.2023.12198
work_keys_str_mv AT wangchangxin prognosticbiomarkersykanditscorrelationwithimmuneinfiltratesinglioma
AT liupei prognosticbiomarkersykanditscorrelationwithimmuneinfiltratesinglioma
AT sunyu prognosticbiomarkersykanditscorrelationwithimmuneinfiltratesinglioma
AT liuting prognosticbiomarkersykanditscorrelationwithimmuneinfiltratesinglioma
AT xuxiaoxiao prognosticbiomarkersykanditscorrelationwithimmuneinfiltratesinglioma
AT guojiamin prognosticbiomarkersykanditscorrelationwithimmuneinfiltratesinglioma
AT gongzheng prognosticbiomarkersykanditscorrelationwithimmuneinfiltratesinglioma
AT sunhaixin prognosticbiomarkersykanditscorrelationwithimmuneinfiltratesinglioma
AT xurui prognosticbiomarkersykanditscorrelationwithimmuneinfiltratesinglioma